Hiring: Senior Software Engineer, Platform Company: HackerOne Location: Austin, CO Job Posted Time: 2026-09-16 13:56:26 Employment Type: Full-time Target Skills & Keywords: AI/ML, LLMs, Generative AI, Agentic AI, Distributed Systems, Cloud (AWS/GCP/Azure), MLOps, RAG, APIs, Ruby on Rails, GraphQL, React, AI Safety, Observability Experience: - 5+ years of experience as a software engineer - Experience implementing distributed system features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applications - Experience working with cloud services like AWS, GCP, or Azure Required Skills: - Contribute to the evolution of a cloud-based execution platform for an AI security agent, implementing features that enable natural language-driven security insights, improved reasoning, and secure action workflows - Design and implement core components for end-to-end execution of security agents, including agent execution frameworks, memory services, RAG services, and observability systems - Operate with an AI-first mindset, leveraging tools such as Claude Code and ChatGPT Enterprise to improve productivity across coding, design documentation, on-call response, and customer escalation handling - Collaborate cross-functionally with Product, Security Research, and Customer Success to translate customer needs into clear engineering requirements and deliverables - Develop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems - Use metrics, evaluation data, and telemetry to validate model behavior and improve system performance - Break down complex distributed systems and security problems into smaller, fundamental components to deliver simple, scalable solutions Qualifications: - Must be able and willing to come to the office once per week (typically Thursdays) - Familiarity with model deployment workflows, evaluation techniques, or MLOps concepts - Understanding of responsible AI development and basic AI safety considerations - Preferred: Experience with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML) - Preferred: Experience with Agentic AI Ops, ML Ops - Preferred: Exposure to agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel - Preferred: Familiarity with full-stack technologies such as Ruby on Rails, GraphQL, or React—especially for integrating AI capabilities into existing systems - Visa/work permit sponsorship is not available - Employment is contingent on a background check Compensation: - $182K – $222K (Seattle, Austin, Boston, DC) - Offers Equity - Benefits: Health (medical, vision, dental), life, and disability insurance; equity stock options; retirement plans; paid public holidays and unlimited PTO; paid maternity and parental leave; leaves of absence; Employee Assistance Program (eligibility may differ by country) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!